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Presentation
Presentation
The syllabus of this UC (curricular unit) aims to give students basic knowledge and skills in statistics and data analysis applied to Social Sciences, namely, regarding the descriptive analysis of data and the application of techniques and procedures for inferential analysis, writing, and presentation of results considering concrete problems in the field of Psychology.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT35-979
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
PC1. Statistics applied to research in Psychology;
PC2. Basic concepts: variables, types of variables and levels of measurement;
PC3. Descriptive statistics;
PC4. Sampling and types of samples;
PC5. JASP: software for statistical data analysis: Construction and organization of databases, Data editing and transformation;
PC6. Univariate descriptive statistics: Frequency distribution: tables and graphs, Measures of central, non-central tendency and distribution;
PC7. Graphical representation of results according to APA;
PC8. The foundations of statistical inference: Introduction to probability theory;
PC9. Parameter estimation (punctual and interval) and hypothesis testing;
PC10. Sample distributions;
PC11. Parametric and non-parametric tests: assumptions and conditions of application;
PC12. Hypothesis testing: one sample t-test; Signed rank test: two independent sample t-test: Mann-Whitney U
PC13. Pearson and Spearman correlation coefficients
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Objectives
Objectives
UC has the following learning objectives:
LO1. Identify variables taking into account their nature, type, and level of measurement;
LO2. Define a study population and plan to obtain a sample;
LO3. Clearly present descriptive statistical data;
LO4. Calculate indicators in order to aggregate information contained in data;
LO5. Apply fundamental concepts of inferential statistics to the study of one population;
LO6. Calculate and analyze point estimates and intervals of parametric and nonparametric parameters for a population;
LO7. Calculate and quantify the relationship or association between two variables;
LO8. Assess, select, and apply various statistical procedures while considering the research objectives;
LO9. Use the JASP® statistical analysis software effectively and proficiently.
Note. LO = learning outcomes
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Teaching methodologies and assessment
Teaching methodologies and assessment
The teaching-learning methodology employed adopts an active approach by delivering content within a laboratory setting. This methodology emphasizes experimentation and encourages cooperation among students. Additionally, whenever feasible, students are actively involved in ongoing research projects conducted within the Research and Development unit (HEI-Lab).
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References
References
Coolican, H. (2018). Research Methods and Statistics in Psychology (7th Edition). Routledge. https://doi.org/10.4324/9781315201009
Field, A. P. (2018). Discovering statistics using IBM SPSS Statistics (5th Edition), Sage.
Goss-Sampson, M. A. (2022). Statistical Analysis in JASP 0.16.1: A Guide for Students. (https://jasp-stats.org/wp-content/uploads/2022/04/Statistical-Analysis-in-JASP-A-Students-Guide-v16.pdf)
Howitt, D., & Cramer, D. (2014). Introduction to statistics in psychology (6th Edition), Pearson.
Marôco, J. (2014). Análise estatística com o SPSS Statistics (6ª ed.). ReportNumber. ISBN: 978-989-96763-4-3
Navarro et al. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners.(https://tomfaulkenberry.github.io/JASPbook/index.html)
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Office Hours
Office Hours
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Mobility
Mobility
No
